Spatially adaptive image defogging using color characteristics

In this paper, we present a vivid image from a foggy underwater image. On fisheries research, it is important to grasp the situation of underwater. They do the undersea observation by using the underwater camera. However, dust floating underwater or mud alter the scene appearance of the camera. They scatter incident light on the camera. The light scattered is one of the major factor of degradation of the scene quality. We tried to solve this problem by adopting defogging algorithm to the low-quality underwater images. But in the underwater images, the environment is very different from the images on ground. The images on ground, airlight is distributed uniformly. On the other hand, the images in underwater, airlight is significantly different between each frame or partial region. We propose the algorithm that can improve visibility from a underwater image which have violent fluctuations of airlight.